Price-Driven Positive-Sum Game Offloading Strategy in Smart Grid enabled by 5G Cloud-Edge Collaboration

Jing Jiang, Yudong Wang, Peizhe Xin, Peng Wu, Yize Tang
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Abstract

As the key technology of the sixth generation (6G), cloud-edge collaboration has attracted people’s attention in smart grids. However, the complex network structure of cloud-edge collaboration not only requires a reasonable offloading scheme to deal with real-time traffic changes, but also requires an effective incentive mechanism to prompt servers to provide resources for users. This paper designs an offloading scheme in Smart Grid enabled by 5G Cloud-Edge Collaboration. On the one hand, a back-off mechanism is introduced to alleviate the contradiction between supply and demand of resources, and on the other hand, a dynamic pricing strategy is introduced as an incentive mechanism for the server. To minimize the user’s offloading cost, we propose a price-driven positive-sum game offloading(PPGO) algorithm, which can meet the different computing needs of users while ensuring server revenue. The simulation results show that the algorithm has good performance compared with other algorithms, and the back-off strategy can effectively alleviate the problem of insufficient computing resources.
基于5G云边缘协作的智能电网价格驱动正和博弈卸载策略
作为第六代(6G)的关键技术,云边缘协作在智能电网中备受关注。然而,云边缘协同复杂的网络结构不仅需要合理的卸载方案来应对实时流量变化,还需要有效的激励机制来促使服务器为用户提供资源。本文设计了一种基于5G云边缘协作的智能电网卸载方案。一方面引入退让机制缓解资源供需矛盾,另一方面引入动态定价策略作为对服务器的激励机制。为了最大限度地降低用户的卸载成本,我们提出了一种价格驱动的正和博弈卸载(PPGO)算法,在保证服务器收益的同时满足用户的不同计算需求。仿真结果表明,与其他算法相比,该算法具有良好的性能,后退策略可以有效缓解计算资源不足的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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